This project analyzes retail footwear sales data from 2017 to 2024 to identify trends, optimize inventory, refine pricing strategies, and improve operational efficiency. By applying data cleaning, exploratory analysis, and forecasting, it provides actionable recommendations for seasonal demand planning, profitability, and product performance.
data-visualization forecasting outlier-detection inventory-management data-cleaning exploratory-analysis trend-analysis product-performance sales-trends profitability-analysis customer-preferences revenue-trends pricing-strategies branch-performance seasonal-demand discount-analysis retail-footwear
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Updated
Dec 31, 2024 - Jupyter Notebook